Development of ANN Based Relay Algorithm for Protection of Series Compensated Transmission Line

Singh, Nikita; Verma, H.K.; Deb, Soma

doi:10.9790/1676-1104017482

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…As a result, it turns out that q1(t) = q2(t) = 1-0.994 = 0.006. With parallel connection of logical blocks of ANN and DT, the probability of failure of the combined voting principle "1 out of 2" of the system is [15]:…”

Section: Combined Methodsmentioning

confidence: 99%

“…It is known to use methods of processing redundant relay protection information and, in particular, voting schemes to improve reliability [10][11]. Technical solutions for RPA using artificial intelligence and machine learning, including algorithms for recognizing the modes of an electric network based on artificial neural networks (ANN) and a decision tree (DT), were discussed in [12][13][14][15][16][17]. However, for the organization of a logical part that unites several triggering elements of multi-dimensional relay protection, artificial intelligence methods were not used.…”

Section: Introductionmentioning

confidence: 99%

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Improving the recognition of operating modes in intelligent electrical networks based on machine learning methods

2020

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Digitalization in the power industry makes it possible to form in real time and accumulate large amounts of data about the state of connections, equipment at substations and the power system as a whole (currents, voltages, power, phase between current and voltage, discrete signals, etc.). The processing and use of data arrays makes it possible to develop fundamentally new algorithms for the operation of automation systems, relay protection and control of electrical networks. The article analyzes the prospects of using methods based on multiple simulation, statistical processing of the results of model experiments and machine learning in relay protection and automation of electrical networks. New methods are proposed for combining logical signals from various triggering elements of a multidimensional relay protection device to increase the reliability and recognizability of normal and emergency operating modes of the power system using an artificial neural network and the decision tree method. The parameters of actuation of individual one-dimensional triggering elements are determined according to the Bayesian criterion for minimizing the average risk.

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Section: Combined Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving the recognition of operating modes in intelligent electrical networks based on machine learning methods

2020

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“…It is known to use methods of processing redundant information for RP and, in particular, voting schemes for increasing reliability [10][11]. Technical solutions of RP using artificial intelligence and machine learning, as well as algorithms for recognition of electrical network modes based on artificial neural networks (ANN) and decision tree (DT), were discussed in [12][13][14][15][16][17][18]. However, artificial intelligence methods were not used to organize the logical part of multiparameter RP.…”

Section: Relevancementioning

confidence: 99%

Improvement of the technical excellence of multiparameter relay protection by combining the signals of the measuring fault detectors using artificial intelligence methods

2019

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The features of the dielectric rod defects and the rod-electrod defects of polymer insulators were investigated by using the developed complex method of contactless remote diagnostics of high-voltage insulators health, which includes the initial detection of local areas with elevated electric field gradients as well as measurement of a set of partial discharges characteristics. The radiation of extra-large partial discharges was detected and partial discharges features were investigated. According to the measurement results, a diagram was constructed for the electro-physical processes that accompany the emission of extralarge partial discharges; and the reasons for their occurrence were established. Statement of the taskThe use of the information approach in RP involves the multiple implementation of simulation of the electrical network and the protected object in normal and

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Pattern Recognition Methods Application to Power Systems Protection and Control

Loskutov

Pelevin

2018

2018 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

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Development of ANN Based Relay Algorithm for Protection of Series Compensated Transmission Line

Abstract: This paper presents a relaying algorithm based on Artificial Neural Network (ANN

Cited by 3 publications

References 3 publications

Improving the recognition of operating modes in intelligent electrical networks based on machine learning methods

Improving the recognition of operating modes in intelligent electrical networks based on machine learning methods

Improvement of the technical excellence of multiparameter relay protection by combining the signals of the measuring fault detectors using artificial intelligence methods

Pattern Recognition Methods Application to Power Systems Protection and Control

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